Dataset
Foliage Canopy of Apple Tree in Formal Architecture (point cloud data)
WSU #AgRobotics Laboratory
2020
Handle:
https://hdl.handle.net/2376/17530
Abstract
Author: XIN ZHANG (questions of how to use this branch, please contact xin.zhang4@wsu.edu or please refer to Xin Zhang's PhD dissertation at WSU). This is a set of image data (point cloud data; integrated with RGB-depth information) of foliage canopy of apple trees in formal architecture. Images data could be used for deep learning and/or robotic applications (e.g., harvesting, pruning, thinning, etc.). Images were acquired in 2018 apple harvesting season near Prosser, WA (USA) using a Kinect V2 sensor. The apple cultivars include: Fuji, Envy, Scifresh, and Pink Lady (in total 985 images).
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Details
- Title
- Foliage Canopy of Apple Tree in Formal Architecture (point cloud data)
- Creators
- Qin Zhang - Washington State University, Biological Systems Engineering, Department ofXin Zhang - Washington State University, Biological Systems Engineering, Department ofManoj Karkee - Washington State University, Center for Precision and Automated Agricultural Systems
- Academic Unit
- Agricultural Automation and Robotics Lab
- Publisher
- WSU #AgRobotics Laboratory
- Identifiers
- 99900625198301842
- Copyright
- openAccess ; http://purl.org/eprint/accessRights/OpenAccess
- Language
- English
- Resource Type
- Dataset